Our mission at Checkly is to enable engineers to detect and resolve issues 10x faster.
We are very excited to announce $20 million in Series B funding led by Balderton, alongside the participation of our existing investors Accel and CRV.
We will use the funding to accelerate how we:
- Enhance the best code-first synthetic monitoring for modern DevOps. Powered by Monitoring as Code and Playwright
- Connect OpenTelemetry to synthetics to help resolve issues 10x faster with Checkly Traces
- Expand our team
Synthetics to proactively detect issues faster
As a company deeply rooted in DevOps and Web automation, we are committed to providing proactive monitoring that alerts you before your users recognize performance and functional issues. Our synthetics allow you to simulate user interactions continuously on a schedule with automated Playwright scripts.
Today, only a fraction of engineers have access to observability and monitoring tools. We have always believed that code itself must drive and configure monitoring and observability. That's why we have created Monitoring as Code (MaC). MaC enables your whole development organization to configure, understand, and ultimately own the monitoring of their production services, all from within their own repositories.
We are growing fast, and more than 1,000 companies have become Checkly customers. Thousands of developers use us every day, running millions of checks per day. Monitoring as Code is now part of two Gartner Hype Cycles, and Checkly became a cool vendor—strong external validation of our approach.
Countless customers have adopted our Monitoring as Code workflow using the Checkly CLI.
“With the Checkly CLI... not only has the check administration become easier, but more people feel empowered to add and edit more checks, which has ultimately improved our monitoring efforts,” shared Tobias Deekens, Commercetools Principal Engineer.
We’re just getting started here at Checkly, and are excited to continuously iterate on and improve the world’s best code-first monitoring platform. Our mission is to give you the clear signals you need to resolve issues faster, and get your developers and customers back to doing what matters.
OpenTelemetry traces to help resolve issues
Today, we are not only announcing our Series B but are also introducing Checkly Traces, a feature that will help engineers resolve issues faster than ever.
We aim to help engineers find issues, get alerted, and fix them 10x faster, staying true to our company mission. To address the end-to-end problem, we are beginning our OpenTelemetry (OTel) journey and will connect synthetics with tracing.
Imagine getting paged at 3 am and not only knowing that there is a problem but also having all the right telemetry at your fingertips to understand the root cause and being able to fix problems quicker. We aim to reduce your MTTR significantly.
We're excited to announce the launch of Checkly Traces, with two main benefits: the easiest trace-error correlation and a simpler trace setup. When configured, every check run will come with an immediate view of your E2E traces spanning from your frontend or your API endpoints and ending deep in your backend. You'll always get an end-to-end picture that helps you pinpoint the root causes of failing checks faster.
“Using Checkly levels up your team to the point where it starts to feel like an unfair advantage,” said James Hall, Founder at Parallax. “We’ve had end-to-end monitors written on many projects, and the risk is they start to die and become unmaintainable. Part of that is because of difficulties unpicking what’s actually happening under the hood. Checkly Traces changes all that, making observability seamless and effective. It provides us with the necessary insights to pinpoint issues and optimize our caching strategy. The straightforward onboarding and automated trace correlation have made our troubleshooting process much faster and more efficient.”
We have developed our solution with these principles in mind.
- Resolve issues faster: Teams can now more quickly resolve failing synthetic checks by correlating the failing checks with backend and infrastructure telemetry data: traces. There is no more manual correlation in third-party observability (o11y) systems.
- Increase signal vs. noise: By correlating synthetics with tracing, you can cut through the sea of observability data they collect and focus on the data that correlates to critical and known business processes as exercised by synthetic monitoring checks.
- Save money: Collect and send only relevant traces directly to Checkly. This is a cost-effective way to start using OTel tracing, which can be expensive. It's cost-effective because we only collect traces for synthetically generated traffic. Checkly stores a fraction of the traces you would usually store and never look at for 99% of cases.
- Integrate with third-party systems: Users can not only collect traces directly but also integrate their existing third-party observability vendors, including New Relic, Datadog, Grafana, Coralogix and others, getting deeper insights into the application’s performance and behavior.
Details of this Series B
With this round of funding led by Balderton Capital and participation from existing investors Accel, CRV, and Paul H. Müller, we have secured $20M in new funding, bringing Checkly’s total funding to $32.25M. We are also excited to welcome Colin Hanna, Partner at Balderton Capital, as a new member of our board.